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Research Data Management: Roles and Responsibilities in Institutions

This article explores the roles and responsibilities of institutions in managing research data. It discusses the importance of data management plans, data policies, data storage, access, and reuse. The article also highlights the readiness of universities in Member States for open science.

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Research Data Management: Roles and Responsibilities in Institutions

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  1. Research Data & Institutions Roles & Responsibilities? Dr Liz Lyon, Associate Director, UK Digital Curation Centre Director, UKOLN, University of Bath, UK Horizon2020 Workshop Rome, April 2012 This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0 UKOLN is supported by:

  2. Lots of reports about data… Some funder data policies… Few (if any) university research data policies… “Variable” data management...

  3. April 2011 - EPSRC Letter to VCs EPSRC expects all those institutions it funds • to develop a roadmap that aligns their policies and processes with EPSRC’s expectations by 1st May 2012; • to be fully compliant with these expectations by1st May 2015. http://www.epsrc.ac.uk/about/standards/researchdata/Pages/expectations.aspx

  4. Awareness of regulatory environment • Data access statement • Data policies and processes • Data storage • Structured metadata descriptions • DOIs for data • Data securely preserved for a minimum of 10 years

  5. Big implications for UK universities…….impacts on • - researchers (who need help) • policy makers (gaps) • support services (skills) • £££s (unknown)

  6. Open science needs managed research data. Research data management is a shared responsibility.

  7. Director IS/CIO/University Librarian Data librarians /data scientist /liaison/subject/faculty librarians Repository managers IT/Computing Services Research Support/Innovation Office Doctoral Training Centres PVC Research Data roles Liz Lyon, Informatics Transform, IJDC Current Issue, 2012

  8. Data policy, advocacy, tools, training • Data management plans: tools • Informatics: disciplinary metadata schema, standards, formats, identifiers, ontologies • Storage: file-store, repositories, cloud, data centres • Access: embargoes, FOI • Reuse: tracking data

  9. Are universities in the Member States ready for open science? • Leadership? • Data policies? • Data support services? • Data repositories? • Data management tools? • Staff with data informatics skills?

  10. Thank you Informatics Transform article http://www.ijdc.net/index.php/ijdc/issue/currentdetails: Slides http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.html DCC http://www.dcc.ac.uk

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